The book aim to contribute the latest understandings of physiological, biochemical and molecular bases of the responses of major crop plants to a range of different biomass produced biochar to introduce climate resilience crop varieties which leads to enhanced crop productivity and quality under stressful conditions and also for better utilization of natural resources to ensure food security through modern breeding. Finally, this book will be a valuable resource for future plant stress related research with biochar, and can be considered as a reference book for front-line researchers working on sustaining crop production under climate change.
Adverse effects of climate changes on crops has developed the situation quite critical for sustainable agriculture. Food security has become in danger due to low production of agricultural crops by resilient climate and ever increasing human population. Heat, drought, salinity, soil compaction, flooding and poor soil organic carbon induced stress in crops by climate adverse conditions are major concerns in this regard. A mechanistic understanding of the interactions between abiotic stresses response of crops is needed to identify and take advantage of acclimation traits in major crop species as a prerequisite for securing robust yield and good quality. This underpins a need for crops with inherent yield increase, yield stability against multiple abiotic stresses and improved quality. Individual stress tolerance mechanisms have been well documented so far. However, mechanisms behind plants' tolerance by application of biochar and its interactions with soil and plant roots towards multiple abiotic stresses are not fully understood.
In addition, there will always be some uncertainty associated with modelling the complex relationships between agricultural yields, product quality with biochar under future climate scenarios. Prediction of yield and quality stability, one of mostcomplex agronomic traits, must integrate aspects of plant development, physiology, biochemistry and genetics. Furthermore, the GxExM interactions will complicate the model predications, thus the responses of a given genotype to a defined environment under certain management strategy need to be determined empirically and used to parameterise and refine crop models.
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